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Review

The Influence of Exercise on the Insulin-like Growth Factor Axis in Oncology: Physiological Basis, Current, and Future Perspectives

James L. Devin, Kate A. Bolam, David G. Jenkins and Tina L. Skinner
James L. Devin
1School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland, Australia.
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  • For correspondence: j.devin@uq.edu.au
Kate A. Bolam
1School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland, Australia.
2The Swedish School of Sport and Health Sciences, Åstrand Laboratory of Work Physiology, Stockholm, Sweden.
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David G. Jenkins
1School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland, Australia.
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Tina L. Skinner
1School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Queensland, Australia.
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DOI: 10.1158/1055-9965.EPI-15-0406 Published February 2016
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  • Table 1.

    Study characteristics

    Exercise prescription
    Author, yearStudy typePopulation [age (years), body mass (kg), BMI (kg.m−2) = mean (SD)]TypeDuration (weeks)Frequency (sessions/week)Protocol and outcomes (I: intervention; C: control)
    1Fairey et al., 2003 (29)RCTT: breast cancer; n = 53; age = [I] 59.0 (5.0) [C] 58.0 (6.0); body mass = [I] 78.1 (20.4) [C] 79.4 (16.4); BMI = [I] 29.4 (7.4) [C] 29.1 (6.1)A153I: Cycling at 70–75% Embedded ImageO2 peak for 15 minutes; increasing by 5 minutes/3 weeks to a maximum of 35 minutes. Preceded and followed by 5 minutes of cycling at 50% Embedded ImageO2 peak; C: No formal intervention; supervised: yes; outcomes: IGF1, IGF2, IGFBP1, IGFBP2, IGFBP3 [ELISA]
    2Schmitz et al., 2005 (35)aRCTT: breast cancer; n = 85; age = [I] 53.3 (8.7); [C] 52.8 (7.6); body mass = [I] 69.2 (2.2) [C] 69.0 (2.2); BMI = [I] 25.9 (0.7) [C] 25.8 (0.7)R262I: 26-week progressive resistance training program; 9 exercises, 3 sets, 8–12 reps completed at 8–10RM (upper body exercises were progressed as able depending on lymphoedema risk and symptoms); C: Delayed treatment; supervised: yes; outcomes: IGF1, IGF2, IGFBP1, IGFBP2, IGFBP3 [ELISA]
    3Irwin et al., 2009 (31)RCTT: breast cancer; n = 75; age = [I] 56.4 (9.5) [C] 55.6 (7.7); body mass = [I] 81.0 (16.8) [C] 79.3 (21.3); BMI = [I] 30.4 (6.0) [C] 30.1 (7.4)A265I: 15 minutes of moderate intensity aerobic activity (walking) progressing to 30 minutes per session by week 5; C: Usual care; supervised: yes; outcomes: IGF1, IGFBP3 [ELISA]
    4Galvao et al., 2008 (30)SGIT: prostate cancer; n = 10; age = 70.3 (8.3)R202I: Progressive resistance training program; 10 weeks of hydraulic machine–based exercises followed by 10 weeks of isotonic resistance exercises; 10-week blocks distributed as: weeks 1 and 2 = 2 × 12RM, weeks 3 and 4 = 3 × 10RM, weeks 5, 6, and 7 = 3 × 8RM, weeks 8, 9, and 10 = 4 × 6RM; supervised: yes; outcomes: IGF1 [ELISA]
    5Janelsins et al., 2011 (32)RCTT: breast cancer; n = 19; age = [I] 54.3 (10.6); [C] 52.7 (6.7); body mass = [I] 66.7 (14.9) [C] 66.7 (9.8); BMI = [I] 24.9 (5.8) [C] 25.0 (4.4)TC123I: 60 minutes of Yang-style Tai Chi Chuan (first 15 moves of the long-form Yang-style Tai Chi Chuan). Session included 10-minute warm up, 40 minutes of exercise (Tai Chi), and 10 minutes of breathing, imagery, and meditation; C: Psychosocial therapy; supervised: yes; outcomes: IGF1, IGFBP1, IGFBP3 [IRMA]
    6Lee et al., 2013 (33)SGIT: colorectal cancer; n = 17 (7 women); age = 55.1 (13.7); body mass = 61.3 (10.6); BMI = 23.1 (3.4)A and R12NRI: Program to increase weekly physical activity to 18 MET hours/week after 6 weeks and to 27 MET hours/week after 12 weeks; combination of aerobic exercise (walking, cycling) and resistance training; supervised: home-based; outcomes: IGF1, IGFBP1, IGFBP3 [ELISA]
    7Santa Mina et al., 2013 (34)RCTT: prostate cancer; n = 26; age = [A] 70.6 (8.1) [R] 73.6 (8.8); body mass = [A] 86.2 (9.9) [R] 80.3 (13.2); BMI = [A] 28.5 (3.3) [R] 27.4 (5.0)A or R265I (A): 60 minutes of aerobic exercise at 60%–80% HRR; I (R): 60 minutes of progressive resistance training; 10 exercises targeting major muscle groups; 2–3 sets, 8–12 repetitions at 60%–80% 1RM; supervised: home-based; outcomes: IGF1, IGFBP3 [ELISA]

    Abbreviations: A, aerobic exercise group; BMI, body mass index; C, control group; HR, heart rate; HRR, heart rate reserve; I, intervention group; IRMA, immunoradiometric assay; kg, kilogram; MET, metabolic equivalent; n, number; NR, not reported; R, resistance training group; Reps, repetitions; RCT, randomized controlled trial; SGI, single-group intervention study; T, cancer type; TC, Tai Chi Chuan; Embedded ImageO2, volume of oxygen consumed; RM, repetition maximum.

    • ↵aOnly RCT component of the study by Schmitz et al. (35) is included in the analysis.

  • Table 2.

    Effects of exercise interventions on IGF1 and IGF2

    Within group analysisBetween groups analysis
    Author, yearBaseline [1] [Mean (SD)]1st endpoint [2] [Mean (SD)]2nd endpoint [3] [Mean (SD)]Mean change [Mean (SD)]Δ percentageP valueP value
    IGF1 (ng.mL−1)
    1Fairey et al.,I: 67.4 (29.1)62.5 (23.9)NA−4.9 (10.7)−7.3%NAP = 0.045
    2003 (29)C: 70.0 (21.5)72.6 (24.8)NA2.5 (14.8)3.6%NA
    2Schmitz et al.,I: 172.9 (11.6)181.2 (11.6)NA8.3 (6.3)4.8%NAP = 0.16
    2005 (35)aC: 194.3 (11.4)190.3 (11.4)NA−4.0 (6.1)−2.0%NA
    3Irwin et al.,I: 213.3 (12.6)207.1 (11.2)NA−7.4 (6.0)−2.9%NAP = 0.026
    2009 (31)bC: 232.3 (18.7)243.7 (18.5)NA12.7 (6.4)4.8%NA
    4Galvao et al.,I: 158.9 (19.4)161.4 (16.1)156.3 (14.3)NA(1–2) 1.6%P > 0.05NA
    2008 (30)b(1–3) −1.6%
    (2–3) −3.2%
    5Janelsins et al.,I: 156.8 (19.6)129.5 (43.8)NA−27.3 (45.1)−17.4%NAP > 0.05
    2011 (32)C: 111.8 (82.6)95.1 (58.7)NA−16.6 (66.5)−14.9%NA
    6Lee et al., 2013 (33)I: 135.4 (60.2)159.5 (62.1)NANA17.8%P = 0.007NA
    7Santa MinaI (A): 159.6 (55.2)169.7 (67.5)161.9 (45.9)NA(1–2) 6.3%NA(1–2) P = 0.129
    et al., 2013 (34)(1–3) 1.4%(1–3) P = 0.199
    (2–3) −4.6%
    I (R): 159.1 (51.2)138.3 (42.6)146.4 (49.5)NA(1–2) −13.1%(1–2) P ≤ 0.05NA
    (1–3) −8.0%
    (2–3) 5.9%
    IGF2 (ng.mL−1)
    1Fairey et al.,I: 824.9 (155.5)805.0 (139.9)NA−19.9 (97.1)−2.4%NAP = 0.101
    2003 (29)C: 714.5 (148.9)735.3 (152.4)NA20.9 (80.5)2.9%NA
    2Schmitz et al.,I: 898.0 (34.9)871.8 (34.9)NA−26.2 (16.7)−3.0%NAP = 0.02
    2005 (35)aC: 891.3 (34.4)919.5 (34.4)NA28.3 (16.3)3.2%NA

    Abbreviations: A, aerobic exercise group; C, control group; I, intervention group; NA, not applicable; R, resistance training group.

    • ↵aOnly RCT component of the study by Schmitz et al. (35) is included in the analysis.

    • ↵bData presented as mean (SE).

  • Table 3.

    Effects of exercise interventions on IGFBP1, IGFBP2, and IGFBP3

    Within group analysisBetween groups analysis
    Author, yearBaseline [1] [Mean (SD)]1st endpoint [2] [Mean (SD)]2nd endpoint [3] [Mean (SD)]Mean change [Mean (SD)]Δ percentageP valueP value
    IGFBP1 (ng.mL−1)
    1Fairey et al., 2003 (29)I: 47.5 (32.3)53.2 (30.4)NA5.6 (13.4)12.0%NAP = 0.774
    C: 48.2 (29.8)52.4 (34.2)NA4.2 (21.2)8.7%NA
    2Schmitz et al., 2005 (35)aI: 36.9 (2.9)34.7 (2.9)NA−2.1 (2.3)−5.8%NAP = 0.36
    C: 36.9 (2.8)37.8 (2.8)NA0.8 (2.3)2.2%NA
    3Janelsins et al., 2011 (32)I: 72.6 (25.6)76.4 (42.8)NA3.8 (27.3)5.2%NAP > 0.05
    C: 92.2 (39.0)101.3 (50.0)NA9.1 (36.4)9.9%NA
    4Lee et al., 2013 (33)I: 6.2 (5.1)7.3 (6.3)NANA17.0%P = 0.35NA
    IGFBP2 (ng.mL−1)
    1Schmitz et al., 2005 (35)aI: 421.7 (29.5)449.6 (29.4)NA27.9 (16.8)6.6%NAP = 0.30
    C: 472.9 (29.0)476.5 (29.1)NA3.6 (16.4)0.8%NA
    IGFBP3 (ng.mL−1)
    1Fairey et al., 2003 (29)I: 2160.8 (421.1)2264.2 (435.4)NA103.4 (224.7)4.8%NAP = 0.021
    C: 2146.2 (438.2)2069.1 (478.4)NA−77.1 (313.5)−3.6NA
    2Schmitz et al., 2005 (35)aI: 4339.7 (133.2)4356.2 (132.7)NA16.5 (85.9)0.4%NAP = 0.32
    C: 4519.7 (130.9)4655.1 (131.0)NA135.3 (83.8)3.0%NA
    3Irwin et al., 2009 (31)bI: 4150.0 (160.0)3980.0 (160.0)NA−190.0 (80.0)−4.1%NAP = 0.006
    C: 4480.0 (170.0)4610.0 (180.0)NA150.0 (100.0)2.9%NA
    4Janelsins et al., 2011 (32)I: 39.2 (6.3)40.1 (7.3)NA0.9 (3.1)2.3%NAP > 0.05
    C: 40.8 (13.6)40.1 (15.1)NA−0.7 (3.8)−1.7%NA
    5Lee et al., 2013 (33)I: 2670.0 (1480.0)3480.0 (1000.0)NANA30.3%P = 0.013NA
    6Santa Mina et al.,I (A): 5582.7 (1514.3)4770.4 (2579.1)4259.8 (1349.2)NA(1–2)−14.6%(1–2) P = 0.794
    2013 (34)(1–3)−23.7%(1–3) P ≤ 0.05(1–3) P = 0.043
    (2–3)−10.7%
    I (R): 4360.5 (1370.9)4321.3 (1205.5)4887.9 (1639.7)NA(1–2)−0.9%
    (1–3) 12.1%(1–3) P ≤ 0.05
    (2–3) 13.1%

    Abbreviations: A, aerobic exercise group; C, control group; I, intervention group; NA, not applicable; R, resistance training group.

    • ↵aOnly RCT component of the study by Schmitz et al. (35) is included in the analysis.

    • ↵bData presented as mean (SE).

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Cancer Epidemiology Biomarkers & Prevention: 25 (2)
February 2016
Volume 25, Issue 2
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The Influence of Exercise on the Insulin-like Growth Factor Axis in Oncology: Physiological Basis, Current, and Future Perspectives
James L. Devin, Kate A. Bolam, David G. Jenkins and Tina L. Skinner
Cancer Epidemiol Biomarkers Prev February 1 2016 (25) (2) 239-249; DOI: 10.1158/1055-9965.EPI-15-0406

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The Influence of Exercise on the Insulin-like Growth Factor Axis in Oncology: Physiological Basis, Current, and Future Perspectives
James L. Devin, Kate A. Bolam, David G. Jenkins and Tina L. Skinner
Cancer Epidemiol Biomarkers Prev February 1 2016 (25) (2) 239-249; DOI: 10.1158/1055-9965.EPI-15-0406
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    • Physiologic Basis of the Insulin-like Growth Factor Axis in Oncology
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